The Right Response to AI is Teaching Responsibility

Alternative Title

The Right Response to Artificial Intelligence (AI) is Teaching Responsibility

Contributor

University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2023 : Orlando, Fla.)

Location

Key West B

Start Date

25-9-2023 10:45 AM

End Date

25-9-2023 11:15 AM

Publisher

University of Central Florida Libraries

Keywords:

Ethical decision-making; AI responsibility; Educational practices; Professional obligation; AI content vetting

Subjects

Artificial intelligence--Moral and ethical aspects; Artificial intelligence--Educational applications; Teaching--Moral and ethical aspects; Educators--Professional ethics; Responsibility--Study and teaching

Description

Discussions of the ethical, legal, and societal implications of AI recognize that the role and responsibility of workers and organizations becomes murkier as the AIs they use become more sophisticated. Educators have an ethical responsibility to train students to vet AI-content and tools, to add value to the output, and to acknowledge through active practice that they are wholly responsible for the results—as they are when using any work-tool. Participants will take away ethical decision-making practices to share with students that frame using AI in terms of professional obligation.

Language

eng

Type

Presentation

Contributor (Linked Data)

Beever, Jonathan, 1980- [LC]

Rights Statement

All Rights Reserved

Audience

Administrators, Faculty, Students

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Sep 25th, 10:45 AM Sep 25th, 11:15 AM

The Right Response to AI is Teaching Responsibility

Key West B

Discussions of the ethical, legal, and societal implications of AI recognize that the role and responsibility of workers and organizations becomes murkier as the AIs they use become more sophisticated. Educators have an ethical responsibility to train students to vet AI-content and tools, to add value to the output, and to acknowledge through active practice that they are wholly responsible for the results—as they are when using any work-tool. Participants will take away ethical decision-making practices to share with students that frame using AI in terms of professional obligation.